pixell is a library for loading, manipulating and analyzing maps stored in rectangular pixelization. It is mainly intended for use with maps of the sky (e.g. CMB intensity and polarization maps, stacks of 21 cm intensity maps, binned galaxy positions or shear) in cylindrical projection, but its core functionality is more general.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.

STPSF produces simulated PSFs for the James Webb Space Telescope, NASA's flagship infrared space telescope. STPSF can simulate images for any of the four science instruments plus the fine guidance sensor, including both direct imaging, coronagraphic, and spectroscopic modes.

libskry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many thousands) low quality ones

STScI tools and algorithms used in calibration pipelines.

sunraster is an Python library that provides the tools to read in and analyze spectrogram data.

This package provides a functionality to reproject astronomical images using various techniques via a uniform interface, where reprojection is the re-gridding of images from one world coordinate system to another e.g. changing the pixel resolution, orientation, coordinate system.

This package provides general tools for astronomical time series in Python.

Package Raccoon cleans the "wiggles" (i.e., low-frequency sinusoidal artifacts) in the JWST-NIRSpec IFS (integral field spectroscopy) data. These wiggles are caused by resampling noise or aliasing artifacts.

astroterm is a terminal-based star map written in C. It displays the real-time positions of stars, planets, constellations, and more, all within your terminal - no telescope required!

PyERFA is the Python wrapper for the ERFA library (Essential Routines for Fundamental Astronomy), a C library containing key algorithms for astronomy, which is based on the SOFA library published by the International Astronomical Union (IAU). All C routines are wrapped as Numpy universal functions, so that they can be called with scalar or array inputs.

Tempo2 is a pulsar timing package, based on the old FORTRAN TEMPO code to address some shortcomings in that code for high precision pulsar timing. See related paper https://ui.adsabs.harvard.edu/abs/2006MNRAS.369..655H/abstract.

This package provides an access to the JWST Science Calibration Pipeline processes data from all JWST instruments and observing modes by applying various science corrections sequentially, producing both fully-calibrated individual exposures and high-level data products (mosaics, extracted spectra, etc.).

This package provides a Glue plugin for geospatial imagery.

The glue-astronomy plugin for glue provides a collection of astronomy-specific functionality

Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.

This package provides a Square Kilometre Array (SKA) Science Data Processor (SDP) function library for radio astronomy.

Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the National Astronomical Observatory of Japan (NAOJ), the Space Telescope Science Institute (STScI), and other contributing entities.

The Ginga toolkit centers around an image display object which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose "reference" FITS viewer is provided, based on a plugin framework. A fairly complete set of standard plugins are provided for features that we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.

This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

This package provides an yt extension package for astrophysical analysis. This package contains functionality for:

• halo finding and analysis

• lightcones

• planning cosmological simulations for making lightcones and lightrays

• exporting to the RADMC-3D radiation transport code

• creating PPV FITS cubes

This package implements functionality of Point Spread Function describing how the optical system spreads light from sources.

This package includes a plugin for the Python library ASDF to add support for reading and writing various compression algorithms including: Blosc,LZ4 Frame,Zstandard.

This package provides Python implementation of ASDF - a proposed next generation interchange format for scientific data. ASDF aims to exist in the same middle ground that made FITS so successful, by being a hybrid text and binary format: containing human editable metadata for interchange, and raw binary data that is fast to load and use. Unlike FITS, the metadata is highly structured and is designed up-front for extensibility.

The package statmorph implements functionality of calculating non-parametric morphological diagnostics of galaxy images (e.g., Gini-M_20 and CAS statistics), as well as fitting 2D Sérsic profiles.